dc.contributor.author | Bansal, Saakshi | |
dc.contributor.author | Chuluunbaatar, Yanjinlkham | |
dc.contributor.author | Brodie, Andrew | |
dc.contributor.author | Vasdev, Nikhil | |
dc.date.accessioned | 2023-08-04T12:00:00Z | |
dc.date.available | 2023-08-04T12:00:00Z | |
dc.date.issued | 2023-06-30 | |
dc.identifier.citation | Bansal , S , Chuluunbaatar , Y , Brodie , A & Vasdev , N 2023 , ' Applications of artificial intelligence for benign prostatic conditions ' , Artificial Intelligence Surgery , no. 3 , pp. 129-39 . https://doi.org/10.20517/ais.2023.07 | |
dc.identifier.issn | 2771-0408 | |
dc.identifier.uri | http://hdl.handle.net/2299/26568 | |
dc.description | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). | |
dc.description.abstract | The advancement of computational abilities have taken us from the days of machines performing simple, one dimensional tasks, to themselves learning and applying knowns to unknowns. Artificial intelligence (AI) has become integral in daily life, yet there is vast room for application in surgery. Oncology is a heavily researched field in medicine but it can unintentionally distract from benign counterparts which may equally cause significant impact on quality of life. Here, we review recent advances in the field of AI for diagnostics, management, prognostication and outcomes for benign prostatic conditions. This review evaluates the strengths and limitations of these approaches with implications for future research. | en |
dc.format.extent | 11 | |
dc.format.extent | 1467439 | |
dc.language.iso | eng | |
dc.relation.ispartof | Artificial Intelligence Surgery | |
dc.subject | Artificial intelligence | |
dc.subject | benign prostate | |
dc.subject | urology | |
dc.subject | deep learning | |
dc.title | Applications of artificial intelligence for benign prostatic conditions | en |
dc.contributor.institution | Centre for Health Services and Clinical Research | |
dc.contributor.institution | Basic and Clinical Science Unit | |
dc.contributor.institution | Extracellular Vesicle Research Unit | |
dc.contributor.institution | Department of Clinical, Pharmaceutical and Biological Science | |
dc.contributor.institution | School of Life and Medical Sciences | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.20517/ais.2023.07 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |